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| Registros recuperados : 56 | |
| 13. |  | PRADO, H. A. do; MAGALHÃES, A. R.; FERNEDA, E. Reasoning about external environment from web sources. In: Knowledge-Based and Intelligent Information and Engineering Systems 13th International Conference, KES 2009, Santiago, Chile, September 28-30, 2009, Proceedings, Part II. 5712 348-355 (Lecture Notes in Computer Science -LNCS, volume 5712).| Biblioteca(s): Embrapa Unidades Centrais. |
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| 15. | | SAYÃO, M.; HAENDCHEN FILHO, A.; PRADO, H. A. do. Requirements engineering for distributed development using software agents. In: ADVANCES in conceptual modeling - challenges and opportunities: ER 2008 workshops CMLSA, ECDM, FP-UML, M2AS, RIGIM, SECOGIS, WISM, Barcelona Spain, October 20-23, 2008: proceedings. New York: Springer-Verlag Berlin Heidelberg, 2008. (Lecture notes in computer science, 5232). p. 272-281.| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| 18. | | PRADO, H. A. do; FERNEDA, E.; MORAIS, L. C. R.; LUIZ, A. J. B.; MATSURA, E. On the effectiveness of candlestick chart analysis for the Brazilian stock market. Procedia Computer Science, Valmiera, v. 22, p. 1136-1145, 2013. Edição de Proceedings of XVII International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Kitakyushu, 2013.| Biblioteca(s): Embrapa Meio Ambiente. |
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| Registros recuperados : 56 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Cerrados. |
|
Data corrente: |
16/06/2000 |
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Data da última atualização: |
16/06/2000 |
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Autoria: |
PRADO, H. A.; FRIGERI, S. R.; MACHADO, K. F.; ENGEL, P. M. |
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Título: |
Data mining using combinatorial neural model. |
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Ano de publicação: |
1999 |
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Fonte/Imprenta: |
Revista Tecnologia da Informacao, Brasilia, v.1, n.1, p.16-21, ago.1999. |
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Idioma: |
Inglês |
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Conteúdo: |
This paper addresses two important problems in data mining: scaling machine learning algorithms to very large data bases and the creation of features to make easier the application of these algorithms. The target algorithm is the Combinatorial Neural Model (CNM) ([MAC 89] and [MAC 91]). First we show a description of CNM and then an alternative to generate the CNM netwok. Another important issue is faced: the prunning of the model after the training phase. In the original proposal this prunning is done on the basis of accumulators values on the model. This criteria does not give a precise notion of the accuracy thet results after the prunning. We present an implementation of the model with a feature based on the wrapper method to prune the network by using the accuracy level instead of the value of accumulators. Finally, we discuss the contributions and future work. |
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Palavras-Chave: |
Information processing. |
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Thesagro: |
Processamento da Informação. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01394naa a2200181 a 4500
001 1546226
005 2000-06-16
008 1999 bl --- 0-- u #d
100 1 $aPRADO, H. A.
245 $aData mining using combinatorial neural model.
260 $c1999
520 $aThis paper addresses two important problems in data mining: scaling machine learning algorithms to very large data bases and the creation of features to make easier the application of these algorithms. The target algorithm is the Combinatorial Neural Model (CNM) ([MAC 89] and [MAC 91]). First we show a description of CNM and then an alternative to generate the CNM netwok. Another important issue is faced: the prunning of the model after the training phase. In the original proposal this prunning is done on the basis of accumulators values on the model. This criteria does not give a precise notion of the accuracy thet results after the prunning. We present an implementation of the model with a feature based on the wrapper method to prune the network by using the accuracy level instead of the value of accumulators. Finally, we discuss the contributions and future work.
650 $aProcessamento da Informação
653 $aInformation processing
700 1 $aFRIGERI, S. R.
700 1 $aMACHADO, K. F.
700 1 $aENGEL, P. M.
773 $tRevista Tecnologia da Informacao, Brasilia$gv.1, n.1, p.16-21, ago.1999.
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